Turn websites into RAG chatbot knowledge bases with Apify, OpenAI and Pinecone

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1. Workflow Overview

This n8n template transforms any website into a fully functional RAG ready chatbot knowledge base. It crawls sites using the AI Training Data Scraper community node, chunks content intelligently, g...

Best for

Internal Wiki automation workflows
AI RAG automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.code, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.openai, n8n-nodes-ai-training-scraper.aitrainingscraper, @n8n/n8n-nodes-langchain.vectorstorepinecone, n8n-nodes-base.manualtrigger, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Paul Abraham.

Original n8n.io source

1.1 Workflow description

Title: Turn websites into RAG chatbot knowledge bases with Apify, OpenAI and Pinecone
Workflow name: Turn websites into RAG chatbot knowledge bases with Apify, OpenAI and Pinecone

This n8n template transforms any website into a fully functional RAG-ready chatbot knowledge base. It crawls sites using the AI Training Data Scraper community node, chunks content intelligently, generates embeddings, and stores everything in Pinecone for semantic search-powered conversations. Perfect for turning documentation, blogs, or marketing sites into instant AI chat assistants.

Use cases

Convert documentation sites into intelligent support chatbots
Build product knowledge bases from marketing websites
Create internal search tools from company intranets
Power customer support agents with scraped competitor analysis
Generate training data for fine-tuning company-specific AI models

Good to know This workflow connects to external services requiring API credentials. Works on n8n Cloud and self-hosted instances. Initial setup takes 10 minutes including community node installation.

Requirements

n8n Cloud or self-hosted instance
Community Node
Apify API key
OpenAI API key
Pinecone account & index

Customising this workflow

Replace Pinecone with Qdrant, Weaviate, or pgvector for self-hosted vector storage
Swap OpenAI embeddings with Ollama or Hugging Face for zero-cost processing
Add content filtering by language, code presence, or section type
Extend with conversation memory using Redis or Postgres
Build a frontend dashboard for managing multiple website indexes
Add multi-site RAG (query across multiple domains simultaneously)

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Process Chunks

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 2 - Split In Batches

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 3 - OpenAI - Create Embeddings

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.3

Block 4 - Combine Embedding with Data

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 5 - AI Training Scraper

Type / Role: n8n-nodes-ai-training-scraper.aiTrainingScraper - aiTrainingScraper
Config choices: Version 1

Block 6 - Pinecone Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStorePinecone - vectorStorePinecone
Config choices: Version 1.3

Block 7 - When clicking ‘Execute workflow’

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 8 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Turn websites into RAG chatbot knowledge bases with Apify, OpenAI and Pinecone
Complexity	intermediate
Nodes	10
Categories	Internal Wiki, AI RAG
Author	Paul Abraham
Published	07 Feb 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/13248/13248.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Internal Wiki workflows AI RAG workflows

Frequently asked questions

What does Turn websites into RAG chatbot knowledge bases with Apify, OpenAI and Pinecone do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Internal Wiki, AI RAG use case.

Paul Abraham

11 workflows

Nodes

n8n-nodes-base.code n8n-nodes-base.splitinbatches @n8n/n8n-nodes-langchain.openai n8n-nodes-ai-training-scraper.aitrainingscraper @n8n/n8n-nodes-langchain.vectorstorepinecone n8n-nodes-base.manualtrigger n8n-nodes-base.stickynote

Complexity

intermediate

Published 07 Feb 2026

Likes 0

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Install path: /data/workflows/13248/13248.json

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Turn websites into RAG chatbot knowledge bases with Apify, OpenAI and Pinecone

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Requirements

Customising this workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Process Chunks

Block 2 - Split In Batches

Block 3 - OpenAI - Create Embeddings

Block 4 - Combine Embedding with Data

Block 5 - AI Training Scraper

Block 6 - Pinecone Vector Store

Block 7 - When clicking ‘Execute workflow’

Block 8 - Sticky Note

Block 9 - Sticky Note1

Block 10 - Sticky Note2

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions